Results 91 to 100 of about 128,875 (269)
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He +5 more
wiley +1 more source
Modelling and Chaotic Based Parameter Optimization of Sliding Mode Controller
This study presents a sliding mode controller design for DC motor speed control using optimization algorithms. The design of sliding mode controllers typically requires expert input during the parameter determination phase.
Adnan Derdiyok +3 more
doaj +1 more source
Qi-therapy, chaotic characteristics of peripheral blood pressure and biochemical variables [PDF]
Myeong-Soo Rim Lee
openalex +1 more source
A remote‐control strategy for catalyst design is unveiled for advanced carbon materials. During pyrolysis, zinc vapor from a physically separate source guides cobalt catalysts to construct a hierarchical carbon nanoarray. This approach prevents structural collapse while directing the dense growth of carbon nanotubes, yielding a material with ...
Xiaoyang Deng +7 more
wiley +1 more source
Coverings of solenoids and automorphisms of semigroup C*-algebras
The paper deals with finite-sheeted covering mappings onto the C*-adic solenoids and limit endomorphisms of semigroup C*-algebras. The aim of our exposition is two-fold: firstly, to present the results concerning the above-mentioned mappings and ...
R.N. Gumerov
doaj
This work uncovers the atomic‐scale origins of exceptional HER performance in amorphous Ni(OH)2 nanosheets by combining atom probe tomography, DFT simulations, and operando spectroscopy. We identify distinct short‐range‐order motifs that accelerate water dissociation, proton transport, and hydrogen adsorption. Embedding Pt single atoms further enhances
Xin Geng +4 more
wiley +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao +5 more
wiley +1 more source
From Droplet to Diagnosis: Spatio‐Temporal Pattern Recognition in Drying Biofluids
This article integrates machine learning (ML) with the spatio‐temporal evolution of biofluid droplets to reveal how drying and self‐assembly encode distinctive compositional fingerprints. By leveraging textural features and interpretable ML, it achieves robust classification of blood abnormalities with over 95% accuracy.
Anusuya Pal +2 more
wiley +1 more source

